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P03 – How to Perform Data Prediction: A Big Data Crash Course Approach

How To Train Artificial Neural Network (ANN) using MATLAB to perform Data Prediction: A big data crash course approach

1 day course / MATLAB Software / RM 988.00 per pax / CCD Points included (Subject to CIDB’s approval)

The Module:

This course teaches participants on how ANN works on predicting the required outputs from certain datasets. Using MATLAB software , the data collection, data normalization and eventually the output prediction can be carried out by training and validating the dataset. By modifying the ANN architecture configurations, learning algorithm, ANN training options and parameters, participants will have the know how on increasing the output prediction accuracy. Participant will also learn on how to set the percentage of training and validation data to increase the output accuracy.

Who Should Attend

An essential training for manufacturers, service providers, researchers, lecturers, and others interested in data prediction.


RM988/pax or 10% discount for 3 or more participants from the same company. The training fee is claimable under SBL HRDF. Please refer to your Training Manager for guides.

Additional Info:

Inclusive of training notes and certificate. Refreshments & Lunch will also be provided. Please bring your own laptop.

For further details, download our training brochure to know more, or our yearly training calendar for other courses. Registration forms are available from the brochure / training calender. 

Contact us if you have further questions.